DBMS > HBase vs. Impala vs. Redis

System Properties Comparison HBase vs. Impala vs. Redis

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on Apache Hadoop and on concepts of BigTable

Analytic DBMS for Hadoop

In-memory data structure store, used as database, cache and message broker

Redis focuses on performance so most of its design decisions prioritize high performance and very low latencies.

Primary database model

Wide column store

Relational DBMS

Key-value store

Multiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistence

Secondary database models

Document store

with Redis Modules
Graph DBMS

with Redis Modules
Search engine

with Redis Modules
Time Series DBMS

with Redis Modules

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	44.49
Rank	#23	Overall
	#2	Wide column stores

Score	16.07
Rank	#36	Overall
	#23	Relational DBMS

Score	152.57
Rank	#7	Overall
	#1	Key-value stores

Website

hbase.apache.org

www.cloudera.com/products/open-source/apache-hadoop/impala.html

redis.io

Technical documentation

hbase.apache.org

docs.cloudera.com/documentation/enterprise/latest/topics/impala.html

redis.io/documentation

Developer

Apache Software Foundation

Apache top-level project, originally developed by Powerset

Cloudera

Salvatore Sanfilippo

Development sponsored by Redis Labs

Initial release

2008

2013

2009

Current release

2.3.4, January 2021

3.4.0, April 2020

6.2.0 , February 2021

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

Apache Version 2

Open Source

BSD 3-Clause, commercial license available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Server operating systems

Linux
Unix
Windows

using Cygwin

Linux

BSD
Linux
OS X
Windows

ported and maintained by Microsoft Open Technologies, Inc.

Data scheme

schema-free, schema definition possible

yes

schema-free

Typing

predefined data types such as float or date

options to bring your own types, AVRO

yes

partial

Supported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

with RediSearch module

SQL

Support of SQL

SQL-like DML and DDL statements

APIs and other access methods

Java API
RESTful HTTP API
Thrift

JDBC
ODBC

proprietary protocol

RESP - REdis Serialization Protocol

Supported programming languages

C
C#
C++
Groovy
Java
PHP
Python
Scala

All languages supporting JDBC/ODBC

C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic

Server-side scripts

Stored procedures

yes

Coprocessors in Java

yes

user defined functions and integration of map-reduce

Lua

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

selectable replication factor

Multi-source replication

with Redis Enterprise Pack
Source-replica replication

Chained replication is supported

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

query execution via MapReduce

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency

Eventual Consistency

Eventual Consistency
Strong eventual consistency with CRDTs

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Single row ACID (across millions of columns)

Optimistic locking, atomic execution of commands blocks and scripts

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

Configurable mechanisms for persistency via snapshots and/or operations logs

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

Access rights for users, groups and roles

based on Apache Sentry and Kerberos

Simple password-based access control

Access control lists and SSL are available in the commercial version

More information provided by the system vendor

Specific characteristics

Apache HBase is the leading NoSQL, distributed database management system, well suited...
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Redis, benchmarked as the world's fastest database, reduces application complexity,...
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Competitive advantages

No single point of failure ensures very high availability with multiple customers...
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Redis is an in-memory database platform offering native support of wide range of...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Redis powers personalization, real-time fraud detection, IoT, e-commerce, real-time...
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Key customers

Apple, Salesforce, Cerner, Allegis Group, Bloomberg, Airtel, Thomson Reuters, Dish,...
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Verizon, Vodafone, Atlassian, Trip Advisor, Jet.com, Nokia, Samsung, HTC, Docker,...
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Market metrics

#1 largest NoSQL database by revenue
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Licensing and pricing models

Apache license P ricing for commercial distribution provided by Cloudera and available...
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The licensing model is subscription based. Redis Enterprise Cloud is priced according...
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